A virtual workshop on
Autonomous Discovery in Science and Engineering
A three-day series of talks, tutorials, and discussions for sharing recent developments in autonomous methods, sponsored by
The Center for Advanced Mathematics for Energy Research Applications
Dates: April 20th - 22nd, 2021
LINKS TO SESSIONS:
The application of AI/ML methods to experimental and computational sciences, in order to enable autonomy and accelerate discovery, has become an extremely exciting and rapidly-evolving field. The goal of this workshop is to bring together researchers in this field to discuss recent developments and share best practices. This workshop will combine invited talks, moderated breakouts, and tutorial sessions. The talks will be aimed at both experts and newcomers to the field. All researchers, including students and other early-career scientists, are welcome.
Focus of the Workshop
As our scientific questions become increasingly complex, the underlying parameter spaces that must be explored are growing in size and dimensionality beyond what a human is able to comprehend. ML/AI methods have emerged that provide insights into these high-dimensional spaces, allowing scientists with deep domain expertise to focus on interpretations and decisions that affect the larger scope of their work rather than micromanaging measurements. This workshop will present an overview of the rapidly evolving field of Autonomous Discovery, covering new theoretical methods, real-world applications, and tutorials of selected software packages. Breakout sessions will give attendees the chance to get first-hand experience and to directly engage with others.